{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "3e67fba4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "L1=pd.read_excel('./体测分数_男生.xls')\n",
    "L2=pd.read_excel('./体测分数_女生.xls')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "6168f444",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x145dbcfce80>,\n",
       "  <matplotlib.patches.Wedge at 0x145dbcfc700>,\n",
       "  <matplotlib.patches.Wedge at 0x145dbc630d0>],\n",
       " [Text(-0.1624111973399321, 1.0879442094972562, ''),\n",
       "  Text(0.010866959209503178, -1.0999463210527771, ''),\n",
       "  Text(1.0894955895965468, -0.15165539967199632, '')],\n",
       " [Text(-0.08858792582178114, 0.5934241142712307, '54.7%'),\n",
       "  Text(0.005927432296092642, -0.5999707205742421, '40.9%'),\n",
       "  Text(0.5942703215981164, -0.08272112709381615, '4.4%')])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(pd.cut(L1['男1000米跑'],bins = 3).value_counts(),autopct='%0.1f%%')#男1000米跑饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "09ab75b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x145dbd653a0>,\n",
       "  <matplotlib.patches.Wedge at 0x145dbd65b20>,\n",
       "  <matplotlib.patches.Wedge at 0x145dbd42280>],\n",
       " [Text(0.06154831092663949, 1.0982767435496747, ''),\n",
       "  Text(-0.20526535316777386, -1.0806785529420435, ''),\n",
       "  Text(1.0904707848256663, -0.14447652903394217, '')],\n",
       " [Text(0.03357180595998517, 0.5990600419361861, '48.2%'),\n",
       "  Text(-0.11196291990969483, -0.5894610288774782, '47.6%'),\n",
       "  Text(0.5948022462685452, -0.07880537947305935, '4.2%')])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.pie(pd.cut(L1['男引体'],bins = 3).value_counts(),autopct='%0.1f%%')#男引体饼图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5302a627",
   "metadata": {},
   "outputs": [],
   "source": [
    "L2.iloc[:,2:]=L2.iloc[:,2:].applymap(lambda x:float(x))#将数据转换为浮点型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "37e7f15b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 37.,  15., 157., 384.]),\n",
       " array([  0.,  25.,  50.,  75., 100.]),\n",
       " <BarContainer object of 4 artists>)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(L2['女800米跑分数'],bins = 4)#女800米跑分数直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "05d34e3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([ 19.,  10., 416., 148.]),\n",
       " array([  0.,  25.,  50.,  75., 100.]),\n",
       " <BarContainer object of 4 artists>)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(L2['女跳远分数'],bins = 4)#女跳远分数直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "daab93f4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "([<matplotlib.patches.Wedge at 0x145ddf2c8e0>,\n",
       "  <matplotlib.patches.Wedge at 0x145ddf88280>,\n",
       "  <matplotlib.patches.Wedge at 0x145ddf889a0>,\n",
       "  <matplotlib.patches.Wedge at 0x145ddf96100>],\n",
       " [Text(-0.554592110855602, 0.534160641171481, ''),\n",
       "  Text(0.3572743163054013, -0.6820960804084041, ''),\n",
       "  Text(0.7193979395995749, -0.27452978800102285, ''),\n",
       "  Text(0.7692919227649215, -0.033014202529367945, '')],\n",
       " [Text(-0.277296055427801, 0.2670803205857405, '75.60%'),\n",
       "  Text(0.17863715815270065, -0.34104804020420204, '14.16%'),\n",
       "  Text(0.35969896979978744, -0.13726489400051142, '8.87%'),\n",
       "  Text(0.38464596138246077, -0.016507101264683972, '1.37%')])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#男女BMI对比\n",
    "bmiBoy=pd.cut(L1['体重']/(L1['身高']/100)**2,\n",
    "bins = [0,16.4,23.2,26.3,999],\n",
    "labels=['低体重','正常','超重','肥胖'])\n",
    "\n",
    "bmiGirl=pd.cut(L2['体重']/(L2['身高']/100)**2,\n",
    "bins = [0,16.4,22.7,25.2,999],\n",
    "labels=['低体重','正常','超重','肥胖'])\n",
    "bmiBoy.value_counts()\n",
    "plt.figure(figsize=(9,9))\n",
    "plt.pie(bmiBoy.value_counts(),radius=1,\n",
    "        autopct='%0.2f%%',\n",
    "        pctdistance=0.85,\n",
    "        labels=['低体重','正常','超重','肥胖'],\n",
    "        textprops={'family':'Kaiti','fontsize':18},\n",
    "        wedgeprops={'linewidth':5,\n",
    "                    'width':0.3, \n",
    "                    'edgecolor':'white'},\n",
    ")\n",
    "\n",
    "plt.pie(bmiGirl.value_counts(),\n",
    "        radius=0.7,\n",
    "        autopct='%0.2f%%',\n",
    "        pctdistance=0.55,\n",
    "        textprops={'family':'Kaiti','fontsize':18},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fd508a6",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.5"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": false
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
